Wavelet based analysis of truck vibrations during off-road transportation
Authors:
- Martin Vlkovský,
- Piotr Koziol,
- Dariusz Grzesica
Abstract
Analysis of vibration of the vehicle on the road surface is of importance for cargo and vehicle security. The vibration data analysed in this paper include vibrations in three directions: longitudinal, transverse and vertical. They have been collected for military cargo during transport on various road surfaces. Compared to previous publications, in this paper, a wavelet transform is proposed for vibration analysis, with the emphasis on their efficiency and the capability to recognise important details of the signal. A series of simulations is needed for making an appropriate chose of wavelets, in order to analyse the most wanted features in time-frequency domain. Wavelet coefficients can be analysed for a wide range of frequencies. The main purpose of this study is to extract from the obtained scalograms essential features allowing to recognize a type of the road for which the signals were recorded. The obtained results might support the identification procedure for the road recognition based on measured signals, especially for vehicles passing from one type of road to another.
- Record ID
- CUTe0df3be97a82459b953e22d94197e609
- Publication categories
- ; ;
- Author
- Journal series
- MATEC Web of Conferences, ISSN , e-ISSN 2261-236X, Irregular
- Issue year
- 2018
- Vol
- 211
- Pages
- [1-5]
- Article number
- 11009
- Other elements of collation
- fot.; wykr.; Bibliografia (na s.) - 5; Bibliografia (liczba pozycji) - 16; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 211
- Substantive notes
- Section: ML: Vibration of Solids and Structures under Moving Loads
- Conference
- 14th International Conference on Vibration Engineering and Technology of Machinery (VETOMAC XIV), 2018, 10-09-2018 - 13-09-2018, Lisbon, Portugalia
- Keywords in English
- vehicle vibration, wavelet analysis, pavement identification
- DOI
- DOI:10.1051/matecconf/201821111009 Opening in a new tab
- URL
- https://www.matec-conferences.org/articles/matecconf/abs/2018/70/matecconf_vetomacxiv2018_11009/matecconf_vetomacxiv2018_11009.html Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 15
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTe0df3be97a82459b953e22d94197e609/
- URN
urn:pkr-prod:CUTe0df3be97a82459b953e22d94197e609
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.